T-pGNN4DTI: Towards better drug-target interactions prediction using Global Self-attentive Pooled Graph Convolutional Networks and protein pre-training Models

• Yanmei Lin ,

  Roles Conceptualization, Formal analysis, Methodology, Writing – original draft

  ¶☯ Yanmei Lin and Boqi Yang are co-first authors and contributed equally to this work.

  Affiliation College of Big Data and Software Engineering, Zhejiang Wanli University, Ningbo, China

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• Boqi Yang ,

  Roles Data curation, Methodology, Software, Writing – review & editing

  ¶☯ Yanmei Lin and Boqi Yang are co-first authors and contributed equally to this work.

  Affiliation College of Arts and Sciences, Emory University, Atlanta, United States of America

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• Jianping Liao,

  Roles Conceptualization, Formal analysis

  Affiliation Guangxi Key Lab of Human-machine Interaction and Intelligent Decision, Nanning Normal University, Nanning, China

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• Chenjie Du,

  Roles Supervision, Writing – review & editing

  Affiliation College of Big Data and Software Engineering, Zhejiang Wanli University, Ningbo, China

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• Hongguo Cai,

  Roles Formal analysis, Writing – review & editing

  Affiliation Guangxi Key Lab of Human-machine Interaction and Intelligent Decision, Nanning Normal University, Nanning, China

  https://orcid.org/0000-0003-1831-0421

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• Yijia Wu ,

  Roles Methodology, Software, Supervision, Validation, Writing – original draft

  * E-mail: wuyijia06@163.com (YW); PengYZ@zwu.edu.cn (YP)

  Affiliation Guangdong University of Technology, Zhaoqing, China

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• Yuzhong Peng

  Roles Project administration, Supervision, Writing – review & editing

  * E-mail: wuyijia06@163.com (YW); PengYZ@zwu.edu.cn (YP)

  Affiliation College of Big Data and Software Engineering, Zhejiang Wanli University, Ningbo, China

  https://orcid.org/0000-0002-1958-8612

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